Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
1:40 "AI's are generally not eager to cause harm, but will if it's necessary to …
ytc_Ugw31tAS1…
G
Like many of the problems the ML crowd hope to address, they are discovering tha…
ytc_UgxqdvKdZ…
G
I have a lot of ideas, but I can’t draw. And I don’t have the time to practice a…
ytc_UgyrfxlKQ…
G
I predict that there is a very high likelihood that AI will kill us all, but at …
ytc_UgxMXXBxT…
G
It all depends on your point of view. If you don't mind being a slave then AI is…
ytc_UgwTOF0wi…
G
this is stupid, if you let the ai feed your biases instead of telling it not to,…
ytc_UgztnDaOk…
G
They are contributing enough to make billions for the corps. How terrible to say…
ytc_UgyMm8gG9…
G
You enter a smart home, with a smartphone in your hand, a smart watch on your wr…
ytc_UgyLpFTQE…
Comment
This is an egregious misrepresentation. This is not how this works at all. The only time training data has ever been leaked from the model has been from something like a public work that been quoted so much that it's over represented by a significant margin. A random run of training data from one person chatgpt history literally would barely move the model weights at all we are talking rounding error. The entropy of the training data only ever flows in as compressed features . That why model only learn in aggregate
youtube
AI Moral Status
2025-05-31T13:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugx6P6kwtE_uQcEoZ9t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyom4cffoKzhndb9sB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzxT9lONMY0CJC_6TN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxZ2LeBJBd3IQoTVVZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxLGUytsL03G9liuWN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwAsJen0L6q-IC6-Cd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgzqOzNg7jlm8K2wZ014AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugxef7mC4oD5y8SOXVR4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgwNkDaPtt7GFLZPtnh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwb3cR_a7MtYcGImDp4AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"outrage"}
]